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mPokket Interview Questions and Answers

Updated 21 Mar 2024

Q1. When we perform sanity , smoke and regression testing

Ans.

Sanity, smoke, and regression testing are performed at different stages of software development to ensure quality and stability.

  • Sanity testing is performed after a small change or bug fix to ensure that the core functionality of the software is still intact.

  • Smoke testing is performed to check the basic functionality of the software after a build or release.

  • Regression testing is performed to ensure that the existing functionality of the software is not affected by new changes ...read more

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Q2. What is difference between severity and priority

Ans.

Severity refers to the impact of a defect on the system, while priority determines the order in which defects should be fixed.

  • Severity is about the seriousness of a defect, while priority is about the order of fixing it.

  • Severity is often categorized as high, medium, or low, while priority is typically assigned as high, medium, or low.

  • For example, a critical defect that causes the system to crash would have high severity and high priority, while a cosmetic defect with low impa...read more

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Q3. 1. Tell me about yourself 2. What is other way to create xpath if they don't have any attribute

Ans.

Creating XPath without attributes

  • Use the element's position in the DOM hierarchy

  • Use the element's text content

  • Use the element's parent or sibling elements

  • Use the element's CSS properties

  • Use the element's tag name

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Q4. Array Vs ArrayList Difference

Ans.

Array is a fixed-size collection of elements, while ArrayList is a dynamic-size collection that can grow or shrink.

  • Array has a fixed size, while ArrayList can dynamically resize.

  • Array can only store elements of the same data type, while ArrayList can store elements of different data types.

  • Array is faster for accessing elements, while ArrayList is slower due to its dynamic resizing.

  • Array is a basic data structure in Java, while ArrayList is a part of the Java Collections Frame...read more

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Q5. Interface vs Abstract class

Ans.

Interface defines a contract for classes to implement, while abstract class can have both abstract and concrete methods.

  • Interface can only have abstract methods and constants, while abstract class can have abstract and concrete methods.

  • A class can implement multiple interfaces but can only inherit from one abstract class.

  • Interfaces are used for achieving multiple inheritance in Java.

  • Abstract classes can have instance variables, constructors, and non-abstract methods.

  • Interface...read more

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Q6. What is the meaning of latency time

Ans.

Latency time refers to the delay or time taken for a response or data to travel from its source to its destination.

  • Latency time is the time delay between a request and a response.

  • It is often measured in milliseconds (ms).

  • Latency can be caused by various factors such as network congestion, processing time, or distance.

  • High latency can result in slow response times and poor user experience.

  • Examples of latency include the time it takes for a web page to load, the delay between c...read more

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Q7. What are the probabilistic distribution?

Ans.

Probabilistic distributions describe the likelihood of different outcomes in a random variable.

  • Probabilistic distributions show the probability of each possible outcome in a random variable

  • Common types include normal, binomial, Poisson, and exponential distributions

  • They are often used in statistics, machine learning, and AI to model uncertainty and make predictions

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Q8. What is supervised machine learning?

Ans.

Supervised machine learning is a type of machine learning where the model is trained on labeled data.

  • In supervised learning, the algorithm learns from labeled training data.

  • The model makes predictions based on input data and is corrected by comparing it to the actual output.

  • Examples include classification and regression tasks.

  • Popular algorithms for supervised learning include linear regression, logistic regression, support vector machines, and decision trees.

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